Thippa Reddy Gadekallu

TL;DR: This paper aims to provide a survey-based tutorial on potential applications and supporting technologies of Industry 5.0 from the perspective of different industry practitioners and researchers.

TL;DR: An overview of deep learning and its applications to healthcare found in the last decade is provided and three use cases in China, Korea, and Canada are presented to show deep learning applications for COVID-19 medical image processing.

TL;DR: A deep neural network (DNN) is used to develop effective and efficient IDS in the IoMT environment to classify and predict unforeseen cyberattacks and performs better than the existing machine learning approaches with an increase in accuracy and decreases in time complexity.

TL;DR: A hybrid principal component analysis (PCA)-firefly based machine learning model to classify intrusion detection system (IDS) datasets and experimental results confirm the fact that the proposed model performs better than the existing machine learning models.

TL;DR: The proposed model is evaluated against the prevalent machine learning models and the results justify the superiority of the proposed model in terms of Accuracy, Precision, Recall, Sensitivity and Specificity.